diff options
Diffstat (limited to 'src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp | 37 |
1 files changed, 17 insertions, 20 deletions
diff --git a/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp index 2ab76041ef..634122835f 100644 --- a/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp +++ b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp @@ -33,35 +33,32 @@ RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload( } } -void RefTransposeConvolution2dWorkload::PostAllocationConfigure() +void RefTransposeConvolution2dWorkload::Execute() const { - // set up input decoder - const ITensorHandle* input = m_Data.m_Inputs[0]; - const TensorInfo& inputInfo = GetTensorInfo(input); - - m_InputShape = inputInfo.GetShape(); - m_InputDecoder = MakeDecoder<float>(inputInfo); - - // set up output encoder - ITensorHandle* output = m_Data.m_Outputs[0]; - const TensorInfo& outputInfo = GetTensorInfo(output); + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} - m_OutputShape = outputInfo.GetShape(); - m_OutputEncoder = MakeEncoder<float>(outputInfo); +void RefTransposeConvolution2dWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); } -void RefTransposeConvolution2dWorkload::Execute() const +void RefTransposeConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, + std::vector<ITensorHandle*> outputs) const { ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute"); - m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map()); - m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map()); + const TensorInfo& inputInfo = GetTensorInfo(inputs[0]); + const TensorInfo& outputInfo = GetTensorInfo(outputs[0]); + + std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map()); + std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map()); TransposeConvolution2dImpl(m_Data.m_Parameters, - m_InputShape, - *m_InputDecoder, - m_OutputShape, - *m_OutputEncoder, + inputInfo.GetShape(), + *inputDecoder, + outputInfo.GetShape(), + *outputEncoder, m_WeightsShape, *m_WeightsDecoder, m_BiasesDecoder.get()); |